93 Open source projects that are alternatives of or similar to Foolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

Task-agnostic universal black-box attacks on computer vision neural network via procedural noise (CCS'19)

Paper list of Adversarial Examples

Adversarial Attacks on Deep Neural Networks for Time Series Classification

Code for the unrestricted adversarial examples paper (NeurIPS 2018)

👩 Pytorch and Jax code for the Madam optimiser.

Massively parallel rigidbody physics simulation on accelerator hardware.

Contains code for the paper "Vision Transformers are Robust Learners" (AAAI 2022).

Chef Transformer 🍲 .

A small library for creating and manipulating custom JAX Pytree classes

Code for the AAAI 2022 publication "Well-classified Examples are Underestimated in Classification with Deep Neural Networks"

A Python library for machine-learning and feedback loops on streaming data

[CVPR 2022] S-attack library. Official implementation of two papers "Vehicle trajectory prediction works, but not everywhere" and "Are socially-aware trajectory prediction models really socially-aware?".

Robust Out-of-distribution Detection in Neural Networks

No.2 solution of Tianchi ImageNet Adversarial Attack Challenge.

Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).

A Closer Look at Accuracy vs. Robustness

NIPS Adversarial Vision Challenge

Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks

Python code for "Machine learning: a probabilistic perspective" (2nd edition)

Factor graphs and nonlinear optimization for JAX

Toy implementations of some popular ML optimizers using Python/JAX

PIX is an image processing library in JAX, for JAX.

EfficientNet, MobileNetV3, MobileNetV2, MixNet, etc in JAX w/ Flax Linen and Objax

Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)

Scaleable input gradient regularization

ShinRL: A Library for Evaluating RL Algorithms from Theoretical and Practical Perspectives (Deep RL Workshop 2021)

[ICML 2021] A fast algorithm for fitting robust decision trees. http://proceedings.mlr.press/v139/vos21a.html

Adversarial Ranking Attack and Defense, ECCV, 2020.

KoCLIP: Korean port of OpenAI CLIP, in Flax

Code for the paper "Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets", ICCV 2019

Federated posterior averaging implemented in JAX

Documentation:

Trax — Deep Learning with Clear Code and Speed

This is a collection of algorithms and approaches used in the book adversarial deep learning

The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.

"GAN 인 액션"(한빛미디어, 2020)의 코드 저장소입니다.

[ICCV2021 Oral] Fooling LiDAR by Attacking GPS Trajectory

Code for our CVPR 2018 paper, "On the Robustness of Semantic Segmentation Models to Adversarial Attacks"

Bayesian Optimization in JAX

Code to reproduce the attacks and defenses for the entries "JeromeR" in the NIPS 2018 Adversarial Vision Challenge

Flax is a neural network library for JAX that is designed for flexibility.

The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another successful application of AML in generative adversarial networks (GANs) for generative applications, thanks to their ability for learning (high-…

Source code and dataset for the CCKS201 paper "On Robustness and Bias Analysis of BERT-based Relation Extraction"

Python toolbox to evaluate graph vulnerability and robustness (CIKM 2021)

Pre-trained model, code, and materials from the paper "Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation" (MICCAI 2019).

adversarial examples, adversarial malware examples, adversarial malware detection, adversarial deep ensemble, Android malware variants

A curated list of awesome resources regarding machine learning reliability.

A pytorch implementation of "Towards Deep Learning Models Resistant to Adversarial Attacks"

[EMNLP 2020] "T3: Tree-Autoencoder Constrained Adversarial Text Generation for Targeted Attack" by Boxin Wang, Hengzhi Pei, Boyuan Pan, Qian Chen, Shuohang Wang, Bo Li

Codes for NeurIPS 2020 paper "Adversarial Weight Perturbation Helps Robust Generalization"

A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations

Functional models and algorithms for sparse signal processing

TrojanZoo provides a universal pytorch platform to conduct security researches (especially backdoor attacks/defenses) of image classification in deep learning.

Implementation of https://srush.github.io/annotated-s4

CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.

Code and data for the ICLR 2021 paper "Perceptual Adversarial Robustness: Defense Against Unseen Threat Models".

Data augmentation for NLP

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Square Attack: a query-efficient black-box adversarial attack via random search [ECCV 2020]